Ananda Samajdar

1.6k citations
17 papers · 941 · 1 hit paper · h-index 12

Impact in

Papers in

Journals
IEEE Micro (1 paper)ACM SIGPLAN Notices (1 paper)Rare & Special e-Zone (The Hong Kong University of Science and Technology) (2 papers)arXiv (Cornell University) (1 paper)Proceedings of the 59th ACM/IEEE Design Automation Conference (1 paper)

In The Last Decade

Ananda Samajdar

16 papers receiving 927 citations

Ananda Samajdar's Hit Papers

SIGMA: A Sparse and Irregular GEMM Accelerator with Flexible Interconnects for DNN Training 2020 · 288 citations
2880+2+4Years since publication50100150200250

Peers

Ananda Samajdar
Comparison fields: 5 of 52
  • Computational Mathematics 33
  • Hardware and Architecture 364
  • Computer Vision and Pattern Recognition 422
  • Electrical and Electronic Engineering 549
  • Computer Networks and Communications 212
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Citations per field
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Citations per year

Countries citing papers authored by Ananda Samajdar

Since Specialization
Citations

This map shows the geographic impact of Ananda Samajdar's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ananda Samajdar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ananda Samajdar more than expected).

Fields of papers citing papers by Ananda Samajdar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ananda Samajdar. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ananda Samajdar. The network helps show where Ananda Samajdar may publish in the future.

Co-authors

The 25 scholars most cited alongside Ananda Samajdar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ananda Samajdar Line = papers co-authored together Ananda Samajdar links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1
SIGMA: A Sparse and Irregular GEMM Accelerator with Flexible Interconnects for DNN Training
Hit paper breakdown →
2020288
2 2018199
3 2018136
4 2020119
5 201750
6
SCALE-Sim: Systolic CNN Accelerator.
201844
7 201917
8 201816
9 202414
10 202214
11 201812
12 202111
13 20247
14 20206
15 20206
16 20252
17 20250

About Ananda Samajdar

Ananda Samajdar is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence, Hardware and Architecture and Computer Networks and Communications, having authored 17 papers that have together received 941 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (9 papers), Advanced Neural Network Applications (7 papers), Neural Networks and Applications (4 papers), Parallel Computing and Optimization Techniques (4 papers), CCD and CMOS Imaging Sensors (4 papers), Ferroelectric and Negative Capacitance Devices (4 papers), Particle Detector Development and Performance (2 papers) and Interconnection Networks and Systems (2 papers). The work is most often cited by research in Computational Mathematics (33 citations), Hardware and Architecture (364 citations), Computer Vision and Pattern Recognition (422 citations), Electrical and Electronic Engineering (549 citations) and Computer Networks and Communications (212 citations). Ananda Samajdar has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Tushar Krishna, Hyoukjun Kwon, Eric Qin, Dipankar Das, Bharat Kaul, Sudarshan Srinivasan, Matthew Mattina, Yuhao Zhu, Paul N. Whatmough and Jan Moritz Joseph. Their work appears in journals such as IEEE Micro, ACM SIGPLAN Notices, Rare & Special e-Zone (The Hong Kong University of Science and Technology), arXiv (Cornell University) and Proceedings of the 59th ACM/IEEE Design Automation Conference.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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